The use of relative operating characteristic (ROC) curves in test performance evaluation.
The use of relative operating characteristic (ROC) curves in test performance evaluation.
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发表时间：
1986
影响因子：
4.6
通讯作者：
Beck;Shultz Ek
中科院分区：
文献类型：
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作者：
Beck;Shultz Ek
相对（或受试者）工作特征（ROC）曲线是实验室检测在所有可能的诊断截止值上的敏感性和特异性之间关系的图形表示。检验医学在采用ROC曲线分析诊断性试验表现方面进展缓慢。在本教程中，我们将讨论ROC曲线在检验医学临床决策中的优点和局限性。我们展示了ROC分析的结构和统计用途，回顾了其在临床病理学中的已发表应用，并评论了其在实验室医学决策分析框架中的作用。
Relative (or receiver) operating characteristic (ROC) curves are a graphical representation of the relationship between sensitivity and specificity of a laboratory test over all possible diagnostic cutoff values. Laboratory medicine has been slow to adopt the use of ROC curves for the analysis of diagnostic test performance. In this tutorial, we discuss the advantages and limitations of the ROC curve for clinical decision making in laboratory medicine. We demonstrate the construction and statistical uses of ROC analysis, review its published applications in clinical pathology, and comment on its role in the decision analytic framework in laboratory medicine.